Jiangzhou Fu, MS, is an assistant survey methodologist for the California Health Interview Survey (CHIS) at the UCLA Center for Health Policy Research.
Prior to joining CHIS, Fu worked as a survey research assistant at the Institute for Social Research (ISR), University of Michigan. While in ISR, he worked on health survey projects regarding hard-to-reach, vulnerable populations via respondent-driven sampling (RDS). He was also responsible for meta-analysis, questionnaire design/programming, and RDS data analysis.
Fu received his master’s degree in survey & data science from the University of Michigan-Ann Arbor.
Journal Article
Authors evaluate the use of dynamic adaptive design methods to target outbound computer-assisted telephone interviewing (CATI) in the California Health Interview Survey. Authors used a difference-in-difference design to evaluate the effect of the adaptive design on calling effort, completion rates, and the demographic composition of respondents.